Fessier, J.A.
Co Author Listing * Low dose CT image reconstruction with learned sparsifying transform
* Model-based estimation of T2 maps with dual-echo steady-state MR imaging
Includes: Fessier, J.A. Fessier, J.A.[Jeffrey A.]
Fessl, A.[Angela]
Co Author Listing * Training Researchers with the MOVING Platform
Fessler, E.[Eli]
Co Author Listing * GOAALLL!: Using sentiment in the world cup to explore theories of emotion
Fessler, J.A.
Co Author Listing * 3D Forward and Back-Projection for X-Ray CT Using Separable Footprints
* Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts
* Accelerated monotonic algorithms for transmission tomography
* Accelerated Nonrigid Intensity-Based Image Registration Using Importance Sampling
* Accelerated Regularized Estimation of MR Coil Sensitivities Using Augmented Lagrangian Methods
* Accelerating Ordered Subsets Image Reconstruction for X-ray CT Using Spatially Nonuniform Optimization Transfer
* Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT
* Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers
* Analysis of Observer Performance in Known-Location Tasks for Tomographic Image Reconstruction
* Analysis of observer performance in unknown-location tasks for tomographic image reconstruction
* Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian L_1-SPIRiT MR Image Reconstruction
* B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI
* Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain, A
* Bias-variance trade-offs analysis using uniform CR bound for images
* Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction
* Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging
* Combined diagonal/Fourier preconditioning methods for image reconstruction in emission tomography
* Combining Ordered Subsets and Momentum for Accelerated X-Ray CT Image Reconstruction
* Compensation for Nonuniform Resolution Using Penalized-Likelihood Reconstruction in Space-Variant Imaging Systems
* Conjugate Phase MRI Reconstruction With Spatially Variant Sample Density Correction
* Conjugate-Gradient Preconditioning Methods for Shift-Variant PET Image Reconstruction
* Convergent incremental optimization transfer algorithms: Application to tomography
* Convolutional Analysis Operator Learning: Acceleration and Convergence
* Convolutional Analysis Operator Learning: Dependence on Training Data
* Convolutional Dictionary Learning: Acceleration and Convergence
* Correction for Collimator-Detector Response in SPECT Using Point Spread Function Template
* Cross-validation and predicted risk estimation for nonlinear iterative reweighted least-squares MRI reconstruction
* DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering
* Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery
* Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images
* Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction
* Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels
* Edge-Preserving Image Denoising via Group Coordinate Descent on the GPU
* Edge-preserving tomographic reconstruction with nonlocal regularization
* Efficient calculation of resolution and covariance for penalized-likelihood reconstruction in fully 3-D SPECT
* Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values
* Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration
* Exact Distribution of Edge-Preserving MAP Estimators for Linear Signal Models with Gaussian Measurement Noise
* Expanded Theoretical Treatment of Iteration-Dependent Majorize-Minimize Algorithms, An
* Fast Joint Reconstruction of Dynamic R_2* and Field Maps in Functional MRI
* Fast Large-Tip-Angle Multidimensional and Parallel RF Pulse Design in MRI
* Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage
* Fast Parallel MR Image Reconstruction via B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA)
* Fast Predictions of Variance Images for Fan-Beam Transmission Tomography With Quadratic Regularization
* Fast Spatial Resolution Analysis of Quadratic Penalized Least-Squares Image Reconstruction With Separate Real and Imaginary Roughness Penalty: Application to fMRI
* Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic Regularization
* Fast X-Ray CT Image Reconstruction Using a Linearized Augmented Lagrangian Method With Ordered Subsets
* Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities
* Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction
* Globally convergent algorithms for maximum a posteriori transmission tomography
* Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms
* Grouped-coordinate ascent algorithms for penalized-likelihood transmission image reconstruction
* High-Resolution Oscillating Steady-State fMRI Using Patch-Tensor Low-Rank Reconstruction
* Hybrid Poisson/Polynomial Objective Functions for Tomographic Image Reconstruction from Transmission Scans
* Image Reconstruction is a New Frontier of Machine Learning
* Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
* Image Recovery Using Partitioned-Separable Paraboloidal Surrogate Coordinate Ascent Algorithms
* Image restoration using non-circulant shift-invariant system models
* Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network
* Improved penalized likelihood reconstruction of anatomically correlated emission data
* Incorporation of System Resolution Compensation (RC) in the Ordered-Subset Transmission (OSTR) Algorithm for Transmission Imaging in SPECT
* Intensity-Based Image Registration Using Robust Correlation Coefficients
* Iterative tomographic image reconstruction using Fourier-based forward and back-projectors
* Joint Design of Excitation k-Space Trajectory and RF Pulse for Small-Tip 3D Tailored Excitation in MRI
* Joint Design of RF and Gradient Waveforms via Auto-differentiation for 3D Tailored Excitation in MRI
* Joint estimation of Stokes images and aberrations from phase-diverse polarimetric measurements
* Joint reconstruction of Stokes images from polarimetric measurements
* LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging
* Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
* Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data
* Maximum-likelihood transmission image reconstruction for overlapping transmission beams
* Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography
* Min-max Approach to the Multidimensional Nonuniform FFT: Application to Tomographic Image Reconstruction, A
* mixture-site model for edge-preserving image restoration, A
* Model-based estimation techniques for 3-D reconstruction from projections
* Model-Based Image Reconstruction for MRI
* Model-based image reconstruction of chemiluminescence using a plenoptic 2.0 camera
* Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems
* Monotonic algorithms for transmission tomography
* Motivating Bilevel Approaches To Filter Learning: A Case Study
* Multi-Material Decomposition Using Statistical Image Reconstruction for Spectral CT
* Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods
* Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE
* On the Convergence of Mean Field Procedures for MRFs
* Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms
* optimized first-order method for image restoration, An
* Optimizing MR Scan Design for Model-Based T_1 , T_2 Estimation From Steady-State Sequences
* Parallel Image Thinning and Vectorization on PASM
* Parallel MR Image Reconstruction Using Augmented Lagrangian Methods
* Partitioned Separable Paraboloidal Surrogate Coordinate Ascent Algorithm for Image Restoration
* Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms
* Penalized-likelihood estimators and noise analysis for randoms-precorrected PET transmission scans
* Penalized-Likelihood Image Reconstruction Method for Emission Tomography, Compared to Postsmoothed Maximum-Likelihood with Matched Spatial Resolution, A
* Phase retrieval of sparse signals using optimization transfer and ADMM
* Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT
* Poisson Phase Retrieval With Wirtinger Flow
* Positron emission tomography
* Positron emission tomography: physical models and reconstruction issues
* Preconditioning Methods for Shift-Variant Image Reconstruction
* PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
* Quadratic Regularization Design for 2-D CT
* recursive algorithm for computing Cramer-Rao-type bounds on estimator covariance, A
* Regularization Designs for Uniform Spatial Resolution and Noise Properties in Statistical Image Reconstruction for 3-D X-ray CT
* Regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood Image Reconstruction
* Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods
* Regularized estimation of Bloch-Siegert B1-maps in MRI
* Regularized Estimation of Magnitude and Phase of Multi-Coil B_1 Field Via Bloch-Siegert B_1 Mapping and Coil Combination Optimizations
* Regularized Field Map Estimation in MRI
* Regularized Image Reconstruction Algorithms for Dual-Isotope Myocardial Perfusion SPECT (MPS) Imaging Using a Cross-Tracer Prior
* Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction
* Separate Magnitude and Phase Regularization via Compressed Sensing
* Simplified digital holographic reconstruction using statistical methods
* Simplified Statistical Image Reconstruction for X-ray CT With Beam-Hardening Artifact Compensation
* Spatial Resolution Properties of Motion-Compensated Tomographic Image Reconstruction Methods
* Spatial-Resolution Properties of Penalized Likelihood Image Reconstruction: Space Invariant Tomographs
* Spatially-variant roughness penalty design for uniform resolution in penalized-likelihood image reconstruction
* Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction, A
* SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models
* Statistical image reconstruction for polyenergetic X-ray computed tomography
* Statistical Image-Reconstruction in PET with Compensation for Missing Data
* Statistical Sinogram Restoration in Dual-Energy CT for PET Attenuation Correction
Includes: Fessler, J.A. Fessler, J.A.[Jeffrey A.]
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